📄️ 🗂️ Custom Properties
Custom properties let you store your own business data against catalogue items, alongside the core and recognition properties that ZIA uses for image recognition.
📄️ ✅ Review (Catalogue Gatekeeper)
The Catalogue Gatekeeper is the review step that every piece of incoming catalogue data passes through before it reaches your live catalogue. Nothing is added silently: proposed reference images, new items and metadata updates all arrive as submissions for a human to approve or reject.
📄️ 🩺 Catalogue Health Dashboard
The Catalogue Health Dashboard tells you which parts of your catalogue are hurting your recognition accuracy, and why. Rather than reporting on what was detected in your images, it reports on the catalogue itself — the reference images and variations the models match against.
📄️ 📈 Accuracy Improvement
Accuracy Improvement turns the validation work you already do into new reference images for your catalogue. Every correction you make while reviewing results is a human-verified example of what a product actually looks like on shelf — which is exactly the data the recognition models need most.
📄️ 🔄 Real Data Flow (RDF)
Real Data Flow (RDF) builds catalogue data out of the shelf images you have already sent to ZIA. Instead of asking you to photograph products in a studio, it groups together visually similar products found across your historical and production images, and proposes those groups as catalogue data for review.
📄️ 🎨 Synthetic Data from a One-Faced Asset
Synthetic reference images let an item be recognised before anyone has photographed it on a shelf. A one-faced asset is the lightest-weight way to get there: you supply a single flat image of the product's packaging artwork, and ZIA generates synthetic reference images from it.
📄️ ♻️ Reclassify Old Results
Improvements to your catalogue normally only affect images processed after the change. Reclassification closes that gap: it re-runs classification on results you have already received, against your catalogue as it stands today.